D-ACO/GA - A bio-inspired strategy for feature selection in anomaly traffic detection in smart Internet of Things environments.
Ant. Helder G. L. JúniorJoaquim Celestino Jr.Gustavo CamposPublished in: ICOIN (2024)
Keyphrases
- bio inspired
- swarm intelligence
- ant colony optimization
- genetic algorithm ga
- feature selection
- anomaly detection
- network traffic
- artificial neural networks
- metaheuristic
- detect anomalies
- aco algorithm
- genetic algorithm
- particle swarm optimization pso
- physical world
- smart environments
- fitness function
- hybrid intelligent systems
- feature subset
- traveling salesman problem
- intrusion detection
- mobile devices
- real time
- particle swarm optimization
- low level image processing
- abnormal behavior
- neural network
- neural models
- modular neural networks
- image analysis and pattern recognition
- ant colony algorithm
- evolutionary computation
- machine learning
- optimization problems
- feature set
- computational intelligence